A Novel RBF Neural Model for Single Flow Zinc Nickel Batteries

Li, X, Li, K orcid.org/0000-0001-6657-0522, Yang, Z et al. (1 more author) (2017) A Novel RBF Neural Model for Single Flow Zinc Nickel Batteries. In: Li, K, Xue, Y, Cui, S, Niu, Q, Yang, Z and Luk, P, (eds.) Advanced Computational Methods in Energy, Power, Electric Vehicles, and Their Integration. LSMS 2017: International Conference on Life System Modeling and Simulation and ICSEE 2017: International Conference on Intelligent Computing for Sustainable Energy and Environment, 22-24 Sep 2017, Nanjing, China. Springer Verlag , pp. 386-395. ISBN 978-981-10-6363-3

Abstract

Metadata

Authors/Creators:
Keywords: Zinc Nickel Batteries (ZNBs); Radial Basis Function (RBF); Teaching-Learning-Feedback-Based Optimization (TLFBO)
Dates:
  • Published: 25 August 2017
  • Accepted: 1 June 2017
  • Published (online): 25 August 2017
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Electronic & Electrical Engineering (Leeds) > Institute of Communication & Power Networks (Leeds)
Depositing User: Symplectic Publications
Date Deposited: 23 Nov 2018 10:55
Last Modified: 06 Mar 2019 14:21
Status: Published
Publisher: Springer Verlag
Identification Number: https://doi.org/10.1007/978-981-10-6364-0_39

Download not available

A full text copy of this item is not currently available from White Rose Research Online

Share / Export

Statistics